silhouette {drclust}

Silhouette

Description

Computes and plots the silhouette of a partition

Usage

silhouette(data, drclust_out)

Arguments

data

Units x variables data matrix.

drclust_out

Out of either doublekm, redkm, factkm or dpcakm.

Value

cl.silhouette

Silhouette index for the given partition, for each object (matrix).

fe.silhouette

Factoextra silhouette graphical object

Author(s)

Ionel Prunila, Maurizio Vichi

References

Rousseeuw P. J. (1987) "Silhouettes: a Graphical Aid to the Interpretation and Validation of Cluster Analysis" <doi:10.1016/0377-0427(87)90125-7>

Maechler M. et al. (2023) "cluster: Cluster Analysis Basics and Extensions" <https://CRAN.R-project.org/package=cluster>

Kassambara A. (2022) "factoextra: Extract and Visualize the Results of Multivariate Data Analyses" <https://cran.r-project.org/web/packages/factoextra/index.html>

Examples

# Iris data 
# Loading the numeric variables of iris data
iris <- as.matrix(iris[,-5]) 

#standardizing the data
iris <- scale(iris)

#applying a clustering algorithm
drclust_out <- dpcakm(iris, 20, 3)

#silhouette based on the data and the output of the clustering algorithm
d <- silhouette(iris, drclust_out)